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Trailblazers and Innovators: Kellanova Women in STEM

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CHICAGO, Feb. 11, 2025 /PRNewswire/ — International Day of Women and Girls in Science, celebrated annually on February 11, highlights the vital contributions of women in science, technology, engineering, and mathematics (STEM) while promoting inclusion in these historically male-dominated fields. Recognized by the United Nations, the day inspires future innovators and underscores the importance of diverse voices in solving global challenges.

At Kellanova, we value the contributions of our thousands of talented people and are proud to have many excelling in STEM fields. Today, we’re highlighting four remarkable women from across our regions who exemplify innovation, creativity, and leadership in recognition of the 10th anniversary of this United Nations Day.

Region:  Latin America / Mexico
Claudia Arboleda Tamayo, Senior Director, Manufacturing

Q. Tell us about your role at Kellanova:

I lead a high-performing team, driving operational strategy, risk management, and budget efficiency. I also standardize work systems across our Mexico plants to enhance operational excellence while fostering team growth.

Q. What inspired you to pursue a career in STEM?

I have a minor in International Business, not a STEM field, but 25 years ago I realized problem-solving was my strength, and it ultimately led me to a career in Supply Chain. There’s immense satisfaction in overcoming countless challenges—like COVID—and seeing a product on the shelf, knowing I made that possible.

Q. Was there a specific moment or person that influenced your decision to enter this field?

Two key factors shaped my decision to pursue Supply Chain, which became clear a few years into my career. I’m from Colombia, where my father ran a transportation business. At the time, logistics infrastructure was underdeveloped, with only 30% of roads paved, limited security, and manual processes at ports. As Colombia opened to global markets, I began to wonder, “What if we could help make a difference?”

Q. What advice do you wish someone would have given you when you were starting out, if any?

I wish someone had told me how crucial networking is, on par with technical skills, for both personal and professional growth. Perhaps the most valuable advice would have been to prioritize work-life balance. Be responsible, brave, and proactive in your life just as you are in your career.

Q. What advice would you give to young people interested in STEM?

You can choose to go into STEM at any point in your life, just dream big and go for it!

 Region: Europe

Loretta Franks, VP Global Chief Data & Analytics Officer (CDAO)

Q. Tell us about your role at Kellanova:

I lead a talented data & analytics team specializing in data science, engineering, technology, and governance, helping Kellanova leverage AI and Machine Learning responsibly for added value. As Global IT’s Executive STEM inclusion sponsor, I champion initiatives worldwide to amplify awareness and drive greater inclusion.

Q. What inspired you to pursue a career in STEM?

I’ve always loved STEM. In school, I studied Math, Physics, and Economics in the UK before earning a degree in Math and Economics. Numbers, facts, analytics, and logic have always been my preference over art or literature. My career began in Finance in Europe, and through diverse roles and experiences, I now lead a global role delivering data and analytics capabilities for our organization.

Q. Was there a specific moment or person that influenced your decision to enter this field?

Data has become a critical asset across industries, sparking my deep interest in its role in driving business growth and operations. Throughout my time at Kellanova (previously Kellogg Company), I’ve built a broad network and gained insights across various functions, thanks to the guidance of many teams and friends. The moments that stand out most are when I said “yes” to new opportunities and embraced the unknown—those experiences have been the most exciting and transformative.

Q. What advice do you wish someone would have given you when you were starting out, if any?

Back yourself. Take some risks – see the adventure versus the challenge. Things will go wrong, but it’s how you deal with the situation that is important. Keep going!

Q. What advice would you give to young people interested in STEM?

Don’t overthink it, stick with your gut, follow your skills and passion and you will thrive. Find someone who has been there before and paved their way and learn from them.

Region: Middle East, North Africa, Turkey, and South Asia
Sara Khafagy, Research & Development (R&D) Director

Q. Tell us about your role at Kellanova:

I lead our regional R&D team, co-creating and driving the business strategy for technology and innovation, and building and developing a high performing team.

Q. What inspired you to pursue a career in STEM?

I enjoy being intellectually stimulated and challenged. A career in STEM can be highly rewarding as it involves problem-solving, critical thinking, and continuous learning.

Q. Was there a specific moment or person that influenced your decision to enter this field?

In high school, my Chemistry teacher inspired me by demonstrating how chemistry brings real-world applications to life, leading me to major in it. I’m passionate about using science to make a difference, especially in food science, materials science, and sustainability. The chemistry of cooking—transforming ingredients and enhancing flavor, texture, and nutrition—continues to intrigue me.

Q. What advice do you wish someone had given you when you were starting out in your career? 

I’ve always held myself to high standards and attention to detail, but early on I sought perfection too often. I wish I’d known that while perfection helps set quality benchmarks and build resilience, it can also stifle creativity and create a fear of failure — both essential for innovation in STEM.

Q. What advice would you give to young people interested in STEM?

STEM fields need diverse perspectives, and your unique viewpoint is valuable. Stay curious and humble to learn more about the world surrounding you. Seek mentorship and feedback along your journey. Learn from the experiences and be open to constructive feedback for continuous development.

Region:  North America/ U.S.
Roxanne Myles, Director, Global Premiums and Licensing

Q. Tell us about your role at Kellanova:

I lead policies and programs ensuring the quality and safety of promotional premiums and licensed products, managing a team that supports marketing initiatives and licensing opportunities.

Q. What inspired you to pursue a career in STEM?

I have always enjoyed math and science and playing with things. As a child, I wanted to deliver babies, and as I got older, I really became interested in learning more about how and where things are made.

Q. Was there a specific moment or person that influenced your decision to enter this field?

I was influenced by my high school chemistry teacher to seek a career in chemistry, which I started when I went to college. There, I was introduced to Food Science and Food Technology. Since I love food and learning about where our food comes from and how it is made, I chose to go in this direction. 

Q. What advice do you wish someone would have given you when you were starting out, if any?

There are so many careers in STEM. Explore STEM careers that interest you and what you have a passion for. There is so much you can do to build your skills, enhance your knowledge and create something that the world has never seen before.

Q. What advice would you give to young people interested in STEM?

Try it, if you don’t like it, try something else. Keep exploring what life in STEM has to offer.

About Kellanova
Kellanova (NYSE: K) is a leader in global snacking, international cereal and noodles, and North America frozen foods with a legacy stretching back more than 100 years. Powered by differentiated brands including Pringles®, Cheez-It®, Pop-Tarts®, Kellogg’s ® Rice Krispies Treats®, RXBAR®, Eggo®, MorningStar Farms®, Special K®, Coco Pops®, and more, Kellanova’s vision is to become the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our net sales for 2024 were approximately $13 billion.  

At Kellanova, our purpose is to create better days and ensure everyone has a seat at the table through our trusted food brands. We are committed to promoting sustainable and equitable food access by tackling the crossroads of hunger, sustainability, wellbeing, and equity, diversity & inclusion. Our goal is to create Better Days for 4 billion people by the end of 2030 (from a 2015 baseline). For more detailed information about our commitments, our approach to achieving these goals, and methodology, please visit our website at https://www.kellanova.com

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SOURCE Kellanova

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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